Hybrid Senior/Lead Applied Data Scientist

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About the role

  • Senior Data Scientist driving advanced analytics and machine learning solutions to support business outcomes. Collaborating with teams and enhancing operational efficiency at McKesson with a data-driven approach.

Responsibilities

  • Drive the full lifecycle of advanced analytics and machine learning solutions
  • Identify opportunities for leveraging company data
  • Develop strategies that enhance operational efficiency
  • Apply advanced analytics to evaluate organizational performance
  • Develop custom machine learning models and algorithms
  • Collaborate with cross-functional teams to deploy, monitor, and maintain ML models
  • Ensure scalability, reliability, and compliance with enterprise standards

Requirements

  • Bachelor's in math, statistics, engineering, or another STEM field or equivalent experience
  • 8+ years of relevant experience
  • 7+ years of hands-on data science experience delivering models to production
  • 4+ years leading projects or small teams as a tech lead
  • Experience in at least two or more relevant domain (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
  • Proficient in Python and SQL
  • Familiarity with LLMs/NLP and retrieval-augmented workflows preferred
  • Expert in Azure ML, MLflow, model registries, monitoring/telemetry, CI/CD

Benefits

  • Competitive compensation package
  • Health, happiness, and well-being focus
  • Performance and experience evaluations

Job title

Senior/Lead Applied Data Scientist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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